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Record W2074109800 · doi:10.1080/14634980600561508

Developing public environmental education: Improving community-based environmental management

2006· article· en· W2074109800 on OpenAlexaffabout
Xiongzhi Xue, Huasheng Hong, Luoping Zhang, Xiaochun Xu, Shawn Shen

Bibliographic record

VenueAquatic Ecosystem Health & Management · 2006
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Education and Sustainability
Canadian institutionsSaint Mary's University
Fundersnot available
KeywordsEnvironmental educationAgency (philosophy)Variety (cybernetics)Capacity buildingChinaCitizen journalismEnvironmental planningEnvironmental resource managementPublic participationEnvironmental adult educationPolitical sciencePublic relationsBusinessSociologyGeography

Abstract

fetched live from OpenAlex

This paper presents the experience of institutional capacity building in environmental education, and the achievement of the participatory approach in environmental management for the Canadian International Development Agency funded project ‘Community-Based Conservation Management: China and Vietnam’ in Xiamen. The project has enhanced teaching capacity and applied research skills of the local training institutions with integrated social and physical science lessons in multiple levels of a post-secondary environmental education programme. The focus of the project was to integrate the local secondary and post-secondary schools environmental education plans. Approaches to promote public awareness on environmental conservation are also illustrated. The study highlights the conservation activities of the Community Based Conservation Management project in Xiamen to encourage the involvement of a variety of community groups, including university students, youth and women. In addition, it explores the social responsibility of the faculty as an essential link between the public and decision-makers for effective public involvement in environmental management. We argue that the success of public environmental education relies on institutional capacity building, interdisciplinary studies and community participation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.530
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.252
Teacher spread0.238 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2006
Admission routes2
Has abstractyes

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